Suicide in the working-age population is an important public health issue. This group is heterogeneous regarding marital status, education level, and employment status, which are generally important socioeconomic factors for suicide, and has a wide age range. This study aims to explore the individual and combined effect of these socioeconomic factors on suicide in different age groups among the working-age population. This study utilized a population-based case-control design for the working-age population in South Korea. Suicide cases were identified in Korean Governmental Death Registry from 2008 to 2017, and eight controls from Korea Community Health Survey were matched to each case by gender, age group, and year of suicide. Conditional logistic regression models estimated the relationship between marital status and socioeconomic status (SES) including educational attainment and employment status and suicide and examined the combined effect of the SES indicators and marital status on suicide. Low education, single status, and unemployment or economically inactive status were associated with suicide, but their magnitude varied across SES indicators. The association between SES and suicide was more pronounced in younger adults. The suicide risk was highest among divorced women aged 25–34 years (OR = 7.93; 95% CI: 7.21–8.72). Individuals experiencing two social adversities among SES or marital status had a significantly increased suicide risk. Those who are divorced and unemployed or economically inactive have the highest suicide risk, specifically among men aged 24–35 years (OR = 17.53; 95% CI: 14.96–20.55). Marital status, education attainment, and employment status have a separate and combined impact on suicide among the working-age population. Specifically, the divorced and unemployed or economically inactive status amplified suicide risk, predominantly among young adults. Monitoring and intervention for those young adults should be considered for suicide prevention.

Even with a reduced burden of malaria in sub-Saharan Africa (SSA), differences remain in the rate of change among countries and sub-regions. We used data from the Global Burden of Disease Study 2019 to establish the relationship between Development Assistance for Health (DAH) and governance and trends in malaria burden in SSA. The trend was estimated using the Joinpoint regression program and the Institute of Health Metrics and Evaluation's DAH database, and World Bank Governance Indicators to analyze the DAH and governance respectively from 2000 to 2017 and used two-way fixed effects to establish their association with the trend in the period. The findings showed decreases in SSA's age-standardised rates for disability-adjusted life years (ASDR) (-47% (95% uncertainty interval (UI) -69% to -14%)), deaths (-38% (95% UI -65% to -3%)), incidence (-35% (95% UI -44% to -25%)), and prevalence (-34% (95% UI -43% to -24%)). Decreases in ASDR were associated with increases in DAH (β -134.18, standard error (SE) 27.26) and governance scores (β -246.19, SE 39.13). The association between reductions in malaria burden and increases in DAH and in governance scores shows the need for accelerated funding of malaria programs and advocacy for better disease governance in malaria-endemic countries.Abbreviations: APC: Annual percentage change; ASDR: Age-standardised disability-adjusted life-year rate; ASIR: Age-standardised incidence rate; ASIR: Age-standardised incidence rate; ASMR: Age-standardised mortality rate; CSSA: Central sub-Saharan Africa; DAH: Development Assistance for Health; DALYs: Disability-adjusted life years; ESSA: Eastern sub-Saharan Africa; GBD: Global burden of disease; GHDx Global Health Data Exchange; IHME: Institute of Health Metrics and Evaluation; SDGs: Sustainable Development Goals; SSA: Sub-Saharan Africa; SSSA: Southern sub-Saharan Africa; UNSD: United Nations Statistics Division; USD: United States dollars; WGI: World Bank Governance Indicators; WHO: World Health Organization; WSSA: Western sub-Saharan Africa.

Objective Financial hardship influences depression risk, however, the pathway of the effect of financial hardship on depression and the role of self-esteem remain unclear. This study examined whether changes in financial hardship affected depression, and whether self-esteem mediated by this relationship.Methods Data from 99,588 observations of 15,331 individuals were extracted from 10 waves of the Korean Welfare Panel Study. The association between changes in financial hardship and depression was investigated using a generalized estimation equation, and the extent to which these associations were mediated by self-esteem was assessed.Results The results indicated that changes in financial hardship were associated with depression, with varying magnitude. Experiencing severe financial hardship over two consecutive years (odds ratio [OR]: 3.87, 95% confidence interval [CI]=3.09–4.85) or increased financial hardship over the previous year strongly influenced depression (e.g., OR: 3.88, 95% CI=3.09–4.86 for low financial hardship at t-1 year and high at t year). Self-esteem plays a mediating role in the relationship between changes in financial hardship and depression, where persistent financial hardship is associated with low self-esteem, leading to depression.Conclusion These findings highlighted the importance of monitoring and intervention for financial hardship and psychological problems to help manage depression.

Precarious employment and unemployment are important factors that impact suicidal behavior. This study investigated (1) how employment transitions among permanent employment, precarious employment, and unemployment are associated with suicidal ideation in working employees and compared (2) whether individuals transitioning among these three states were more vulnerable than those remaining. Using nationally representative longitudinal data between 2012–2017, a total of 25,862 adults aged 25 to 59 years old without a record of suicidal ideation were included at baseline. Transitions in employment status (permanent work, precarious work, or unemployment) and suicidal ideation were analyzed using hierarchical logistic regression models. Compared to the “permanent to permanent” group, individuals in the “permanent to precarious” (odds ratio (OR) 1.74, 95% confidence interval (95% CI) 1.29–2.35], “permanent to unemployment” (OR 1.97, 95% CI 1.32–2.96), “precarious to precarious” (OR 1.86, 95% CI 1.21–2.85), and the “precarious to unemployment” (OR 1.43, 95% CI 1.05–1.95) groups had higher odds of suicidal ideation. The magnitude of such odds was generally higher than that of individuals at annual unemployment or precarious states. The results show that adults moving in and out of different employment states have higher odds of suicidal ideation than individuals at annually static precarious or unemployment status.

Choi M, et al. J Korean Med Sci. 2024 Aug;39:e283. https://doi.org/10.3346/jkms.2024.39.e283